| 書目名稱 | Phonetic Search Methods for Large Speech Databases |
| 編輯 | Ami Moyal,Vered Aharonson,Michal Gishri |
| 視頻video | http://file.papertrans.cn/747/746298/746298.mp4 |
| 概述 | Presents a tutorial-like detailed description of current keyword spotting methodologies.Provides a comprehensive comparison of existing KWS methods.Places emphasis on efficient methods for keyword spo |
| 叢書名稱 | SpringerBriefs in Speech Technology |
| 圖書封面 |  |
| 描述 | “Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed description of the complexity of the task and the different methods that are used, including the advantages and disadvantages of each method and an in-depth comparison. The main focus will be on the Phonetic Search method and its efficient implementation. This will include a literature review of the various methods used for the efficient implementation of Phonetic Search Keyword Spotting, with an emphasis on the authors’ own research which entails a comparative analysis of the Phonetic Search method which includes algorithmic details. This brief is useful for researchers and developers in academia and industry from the fields of speech processing and speech recognition, specifically Keyword Spotting. |
| 出版日期 | Book 2013 |
| 關(guān)鍵詞 | KWS Solutions; Keyword Spotting; Keyword Spotting Methods; Large Speech Databases; Phonetic Search; Phone |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-6489-1 |
| isbn_softcover | 978-1-4614-6488-4 |
| isbn_ebook | 978-1-4614-6489-1Series ISSN 2191-737X Series E-ISSN 2191-7388 |
| issn_series | 2191-737X |
| copyright | Springer Science+Business Media New York 2013 |
|Archiver|手機版|小黑屋|
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